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PEO-Store: Delegation-Proof Based Oblivious Storage with Secure Redundancy Elimination

IEEE Transactions on Dependable and Secure Computing(2024)

Univ South China | Nanyang Technol Univ | Suffolk Univ | Huazhong Univ Sci & Technol | Virginia Commonwealth Univ

Cited 1|Views22
Abstract
Recently, Oblivious Storage has been proposed to prevent privacy leakage from user access patterns, which obfuscates and makes it computationally indistinguishable from the random sequences by fake accesses and probabilistic encryption. The same data exhibits distinct ciphertexts. Thus, it seriously impedes cloud providers' efforts to improve storage utilization to remove user redundancy, which has been widely used in the existing cloud storage scenario. Inspired by the successful adoption of removing duplicate data in cloud storage, we attempt to integrate obliviousness, remove redundancy, and propose a practical oblivious storage, PEO-Store. Instead of fake accesses, introducing delegates breaks the mapping link between a valid access pattern and a specific client. The cloud interacts only with randomly authorized delegates. This design leverages non-interactive zero-knowledge-based redundancy detection, discrete logarithm problem-based key sharing, and secure time-based delivery proof. These components collectively protect access pattern privacy, accurately eliminate redundancy, and prove the data delivery among delegates and the cloud. Theoretical proof demonstrates that, in our design, the probability of identifying the valid access pattern with a specific client is negligible. Experimental results show that PEO-Store outperforms state-of-the-art methods, achieving an average throughput of up to 3 times faster and saving 74% of storage space.
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Key words
Cloud computing,Redundancy,Servers,Peer-to-peer computing,Privacy,Throughput,Random access memory,Cloud storage,delegation,oblivious storage,secure deduplication,zero-knowledge proof
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要点】:本文提出了PEO-Store,一种基于无可追踪存储(Oblivious Storage)的存储方案,通过引入代理机制以防止访问模式隐私泄露,同时实现了安全的数据冗余消除。

方法】:PEO-Store采用代理机制代替伪访问来打破有效访问模式与特定客户端之间的映射联系,并利用非交互式零知识证明进行数据冗余检测、基于离散对数问题的密钥共享以及基于时间的安全交付证明。

实验】:实验使用了未明确提及的数据集,结果显示PEO-Store相较于现有技术,平均吞吐量提高了3倍,并节省了74%的存储空间。